python/Identification/mvaElectronID_Spring15_25ns_Trig_V1_cff.py

0001 from PhysicsTools.SelectorUtils.centralIDRegistry import central_id_registry
0002 from RecoEgamma.ElectronIdentification.Identification.mvaElectronID_tools import *
0003 import FWCore.ParameterSet.Config as cms
0004
0005 #
0006 # In this file we define the locations of the MVA weights, cuts on the MVA values
0007 # for specific working points, and configure those cuts in VID
0008 #
0009
0010 #
0011 # The following MVA is derived for 25ns Spring15 MC samples for triggering electrons.
0012 # See more documentation in this presentation (P.Pigard):
0013 #     https://indico.cern.ch/event/369245/contribution/3/attachments/1153011/1655996/20150910_EID_POG_vAsPresented.pdf
0014 #
0015
0016 # The tag is an extra string attached to the names of the products
0017 # such as ValueMaps that needs to distinguish cases when the same MVA estimator
0018 # class is used with different tuning/weights
0019 mvaTag = "Spring15Trig25nsV1"
0020
0021 # There are 3 categories in this MVA. They have to be configured in this strict order
0022 # (cuts and weight files order):
0023 #   0   EB1 (eta<0.8)
0024 #   1   EB2 (eta>=0.8)
0025 #   2   EE
0026
0027 mvaSpring15TrigWeightFiles_V1 = cms.vstring(
0028     "RecoEgamma/ElectronIdentification/data/Spring15/EIDmva_EB1_10_oldTrigSpring15_25ns_data_1_VarD_TMVA412_Sig6BkgAll_MG_noSpec_BDT.weights.xml.gz",
0029     "RecoEgamma/ElectronIdentification/data/Spring15/EIDmva_EB2_10_oldTrigSpring15_25ns_data_1_VarD_TMVA412_Sig6BkgAll_MG_noSpec_BDT.weights.xml.gz",
0030     "RecoEgamma/ElectronIdentification/data/Spring15/EIDmva_EE_10_oldTrigSpring15_25ns_data_1_VarD_TMVA412_Sig6BkgAll_MG_noSpec_BDT.weights.xml.gz"
0031     )
0032
0033 # The working point for this MVA that is expected to have about 90% signal
0034 # efficiency in each category
0035 idName90 = "mvaEleID-Spring15-25ns-Trig-V1-wp90"
0036 MVA_WP90 = EleMVA_WP(
0037     idName = idName90, mvaTag = mvaTag,
0038     cutCategory0 = "0.972153", # EB1
0039     cutCategory1 = "0.922126", # EB2
0040     cutCategory2 = "0.610764"  # EE
0041     )
0042
0043 idName80 = "mvaEleID-Spring15-25ns-Trig-V1-wp80"
0044 MVA_WP80 = EleMVA_WP(
0045     idName = idName80, mvaTag = mvaTag,
0046     cutCategory0 = "0.988153", # EB1
0047     cutCategory1 = "0.96791" , # EB2
0048     cutCategory2 = "0.841729"  # EE
0049     )
0050
0051 #
0052 # Finally, set up VID configuration for all cuts
0053 #
0054
0055 # Create the PSet that will be fed to the MVA value map producer
0056 mvaEleID_Spring15_25ns_Trig_V1_producer_config = cms.PSet(
0057     mvaName            = cms.string(mvaClassName),
0058     mvaTag             = cms.string(mvaTag),
0059     # Category parameters
0060     nCategories         = cms.int32(3),
0061     categoryCuts        = cms.vstring(*EleMVA_3CategoriesCuts),
0062     # Weight files and variable definitions
0063     weightFileNames     = mvaSpring15TrigWeightFiles_V1,
0064     variableDefinition  = cms.string(mvaVariablesFile)
0065     )
0066 # Create the VPset's for VID cuts
0067 mvaEleID_Spring15_25ns_Trig_V1_wp90 = configureVIDMVAEleID( MVA_WP90 )
0068 mvaEleID_Spring15_25ns_Trig_V1_wp80 = configureVIDMVAEleID( MVA_WP80 )
0069
0070 # The MD5 sum numbers below reflect the exact set of cut variables
0071 # and values above. If anything changes, one has to
0072 # 1) comment out the lines below about the registry,
0073 # 2) run "calculateMD5 <this file name> <one of the VID config names just above>
0074 # 3) update the MD5 sum strings below and uncomment the lines again.
0075 #
0076
0077 central_id_registry.register(mvaEleID_Spring15_25ns_Trig_V1_wp90.idName,
0078                              'bb430b638bf3a4d970627021b0da63ae')
0079 central_id_registry.register(mvaEleID_Spring15_25ns_Trig_V1_wp80.idName,
0080                              '81046ab478185af337be1be9b30948ae')
0081
0082 mvaEleID_Spring15_25ns_Trig_V1_wp90.isPOGApproved = cms.untracked.bool(True)
0083 mvaEleID_Spring15_25ns_Trig_V1_wp80.isPOGApproved = cms.untracked.bool(True)